Build A Custom AI Based ChatBot Using Langchain, Weviate, and Streamlit

Author(s): Skanda Vivek

Originally published on Towards AI.

A comprehensive guide to building a customized chatbot using Generative AI, a popular vector database, prompt chaining, and UI tools

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As multiple organizations are racing to build customized LLMs, a common question I have been asked is — what are the tools out there to streamline this process?

In this article, I show you how to build a fully functional application for engaging in conversations through a chatbot built on top of your documents. This application employs the power of ChatGPT/GPT-4 (or any other large language model) to extract information from document data stored as embeddings in a vector database, and Langchain for prompt chaining. Here’s a preview:

Docs QA Bot… Read the full blog for free on Medium.

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Published via Towards AI